{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "estat = pd.read_csv('estats.csv')\n",
    "polar = pd.read_csv('polars.csv')\n",
    "potential = pd.read_csv('potentials.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pylab as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x11571add0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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      ],
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1150bb310>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "gg==\n"
      ],
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1155a6cd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "pHAAdvmQcjtjlyZ/E5iKJafUZionlfuAM7Dv+W7A+7Aaki4bINHSryOR/pHWUB7DaibzgeuAK7Gm\n",
       "sz9gyeJV4BS2v4rpncD5wFPYZVV+l7vve9hAhkeAs3PPuxU4yr9nAnzev/5BbH/lz1a7KqqIiIiI\n",
       "iIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiEhY/x/vrLe/afsa7QAAAABJRU5ErkJggg==\n"
      ],
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1155ac450>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "estat.plot()\n",
    "plt.xlabel('Iteration')\n",
    "plt.ylabel('Energy')\n",
    "plt.title('Electrostatics')\n",
    "polar.plot()\n",
    "plt.xlabel('Iteration')\n",
    "plt.ylabel('Energy')\n",
    "plt.title('Polarization')\n",
    "potential.plot()\n",
    "plt.xlabel('Iteration')\n",
    "plt.ylabel('Energy')\n",
    "plt.title('Potential')"
   ]
  }
 ],
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